label

In supervised machine learning, the "answer" or "result" portion of an example. Each labeled example consists of one or more features and a label. For example, in a spam detection dataset, the label would probably be either "spam" or "not spam." In a rainfall dataset, the label might be the amount of rain that fell during a certain period. See Supervised Learning in Introduction to Machine Learning for more information.

Practitioners refer to label when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.